000			02087nam a22002657a 4500
005			20240210165305.0
008			240210b |||||||| |||| 00| 0 eng d
020			_a9781803232911
082			_a006.3 _bKAP
100			_aKapoor, Amita _914221
245			_aDeep learning with TensorFlow and Keras: _bbuild and deploy supervised, unsupervised, deep, and reinforcement learning models
250			_a3rd
260			_bPackt Publishing _aBirmingham _c2022
300			_axxix, 667 p.
365			_aINR _b3699.00
520			_aDeep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments. This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML. (https://www.packtpub.com/product/deep-learning-with-tensorflow-and-keras-third-edition/9781803232911)
650			_aComputer science _913730
650			_aComputer programming _915627
650			_aMachine learning _915068
650			_aArtificial intelligence _913180
650			_aData mining _913331
700			_aGulli, Antonio _915631
700			_aPal, Sujit _915632
942			_cBK _2ddc
999			_c5961 _d5961